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Abstract-Performance of biometric keystroke dynamics systems improve when using update mechanisms for the template. Generally, only the results are reported in literature but no description of how the results were achieved is presented. In this paper, we identify not only the parameters related to the update mechanism, but also the parameters for the testing of the update mechanism. For two selected update mechanisms, we will show that the performance of those mechanisms heavily depend on the used method for evaluation. For one of these update mechanisms the final FMR value varied from 12.85% to 53.60% depending on the evaluation method. This clearly shows that performance results on update mechanisms by themselves have no value unless the method of evaluation is described.

Abstract. The majority of malware seen on Android has a top-down approach often targeting application programming interfaces (API) of the financially rewarding telephony and short message service (SMS). In this paper we present a proof of concept of compromising an Android based smartphone by targeting the underlying Linux kernel. We adopt an unorthodox bottom-up approach on modifying the operating system to allow an application to re-route the Android debug bridge (ADB) daemon onto a wireless link. We support our research using case scenarios to show how information can be extracted and inserted into the smartphone without the knowledge of the user. We discuss how the Android build environment can be changed to harness functionality from secured operations. We also discuss how an application can be designed to function with minimum resources, be hidden and perform operations without user consent or interaction. We also provide an overview of how a rooted Android operating system can be misused.

The high computational power of graphics processing units (GPU) is used for several purposes nowadays. Factoring integers, computing discrete logarithms, and pattern matching in network intrusion detection systems (IDS) are popular tasks in the field of information security where GPUs are used for acceleration. GPUs are commodity components and are widely available in computer systems which would make them an ideal platform for a wide-spread IDS. We investigate the feasibility to use current GPUs for asynchronous host intrusion detection as proposed in a former work and come to the conclusion that several constraints of GPUs limit the use for concurrent and asynchronous off-CPU processing in host IDSs. GPUs have restrictions in terms of continuity, asynchronism, and unrestricted access to perform this task. We propose an observation mechanism and discuss current constraints on autonomous use of standard GPU components for intrusion detection. Finally, we come to the conclusion that several modifications to graphics cards are necessary to enable our approach.